Multi-Institutional Evaluation of Pathologists’ Assessment Compared to Immunoscore

Author:

Willis Joseph1,Anders Robert A.2,Torigoe Toshihiko3ORCID,Hirohashi Yoshihiko3ORCID,Bifulco Carlo4,Zlobec Inti5,Mlecnik Bernhard6789ORCID,Demaria Sandra10ORCID,Choi Won-Tak11ORCID,Dundr Pavel12,Tatangelo Fabiana13ORCID,Di Mauro Annabella13ORCID,Baldin Pamela14,Bindea Gabriela678ORCID,Marliot Florence67815,Haicheur Nacilla67815,Fredriksen Tessa678,Kirilovsky Amos67815,Buttard Bénédicte678,Vasaturo Angela678,Lafontaine Lucie678,Maby Pauline678,El Sissy Carine67815,Hijazi Assia678,Majdi Amine678,Lagorce Christine67816,Berger Anne67817,Van den Eynde Marc18ORCID,Pagès Franck67815,Lugli Alessandro5ORCID,Galon Jérôme678

Affiliation:

1. Department of Pathology, UH Cleveland Medical Center, Cleveland, OH 44106, USA

2. Pathology Department, John Hopkins, Baltimore, MD 21287, USA

3. Department of Pathology, Sapporo Medical University School of Medicine, Sapporo 060-8556, Japan

4. Department of Pathology and Molecular Genomics, Providence Portland Medical Center, Portland, OR 97213, USA

5. Institute of Pathology, University of Bern, 3008 Bern, Switzerland

6. INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France

7. Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, 75006 Paris, France

8. Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France

9. Inovarion, 75005 Paris, France

10. Department of Pathology, Weill Cornell Medicine, New York, NY 10021, USA

11. Department of Pathology, University of California, San Francisco, CA 94143, USA

12. Institute of Pathology, First Faculty of Medicine, Charles University, General University Hospital in Prague, 12808 Prague, Czech Republic

13. Department of Pathology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy

14. Department of Pathology, Cliniques Universitaires St-Luc, Institut de Recherche Clinique et Experimentale (Pole GAEN), Université Catholique de Louvain, 1348 Brussels, Belgium

15. Immunomonitoring Platform, Laboratory of Immunology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France

16. Department of Pathology, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France

17. Digestive Surgery Department, AP-HP, Assistance Publique-Hopitaux de Paris, Georges Pompidou European Hospital, 75015 Paris, France

18. Institut Roi Albert II, Department of Medical Oncology, Cliniques Universitaires St-Luc, Institut de Recherche Clinique et Experimentale (Pole MIRO), Université Catholique de Louvain, 1030 Brussels, Belgium

Abstract

Background: The Immunoscore (IS) is a quantitative digital pathology assay that evaluates the immune response in cancer patients. This study reports on the reproducibility of pathologists’ visual assessment of CD3+- and CD8+-stained colon tumors, compared to IS quantification. Methods: An international group of expert pathologists evaluated 540 images from 270 randomly selected colon cancer (CC) cases. Concordance between pathologists’ T-score, corresponding hematoxylin–eosin (H&E) slides, and the digital IS was evaluated for two- and three-category IS. Results: Non-concordant T-scores were reported in more than 92% of cases. Disagreement between semi-quantitative visual assessment of T-score and the reference IS was observed in 91% and 96% of cases before and after training, respectively. Statistical analyses showed that the concordance index between pathologists and the digital IS was weak in two- and three-category IS, respectively. After training, 42% of cases had a change in T-score, but no improvement was observed with a Kappa of 0.465 and 0.374. For the 20% of patients around the cut points, no concordance was observed between pathologists and digital pathology analysis in both two- and three-category IS, before or after training (all Kappa < 0.12). Conclusions: The standardized IS assay outperformed expert pathologists’ T-score evaluation in the clinical setting. This study demonstrates that digital pathology, in particular digital IS, represents a novel generation of immune pathology tools for reproducible and quantitative assessment of tumor-infiltrated immune cell subtypes.

Funder

INSERM

LabEx Immuno-oncology

Transcan ERAnet european project

Association pour la Recherche contre le Cancer

Site de Recherche intégrée sur le Cancer

CAncer Research for PErsonalized Medicine

La Ligue contre le Cancer

Assistance publique–Hôpitaux de Paris

Agence Nationale de la Recherche

Qatar National Research Fund

Louis Jeantet Prize foundation

Ministry of Health, Czech Republic

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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